Pi-Shazam: Code Analysis Extension for AI Agents

A native codebase awareness extension for AI agents, offering 7 structural analysis tools powered by tree-sitter & LSP, also available as an MCP server.

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Pi-Shazam: Code Analysis Extension for AI Agents

Pi-Shazam is a powerful native codebase awareness extension designed to enhance the capabilities of AI agents. By providing deep structural analysis of codebases, it enables AI developers to build more intelligent and context-aware agents. This tool is particularly valuable for agents that need to understand, refactor, or generate code.

What it Does

Pi-Shazam integrates directly with AI agents, granting them a comprehensive understanding of the underlying code structure. It leverages advanced parsing technologies to provide detailed insights into code relationships, dependencies, and syntax. This allows AI agents to move beyond simple text-based analysis and engage with code at a structural level, leading to more accurate and efficient code-related tasks.

Key Features

Native Codebase Awareness: Provides AI agents with direct access to the structural representation of code.
7 Structural Analysis Tools: Offers a suite of tools for analyzing code, including AST traversal, dependency mapping, and more.
Powered by Tree-sitter & LSP: Utilizes robust parsing and language server protocol technologies for accurate and efficient analysis.
MCP Server Availability: Can be deployed as an MCP server, allowing for centralized code analysis accessible by multiple agents.
Source Code Available: Fully open-source on GitHub, enabling customization and integration.

Who it's For

Pi-Shazam is an essential tool for AI developers building agents focused on code comprehension, generation, and manipulation. This includes:

AI Code Assistants: Developers creating agents that assist with writing, debugging, and refactoring code.
Automated Code Review Tools: Teams building AI systems for static code analysis and quality assurance.
Software Development Agents: Researchers and engineers developing agents capable of understanding and interacting with complex software projects.
Anyone building MCP-based AI systems that require deep code understanding.